Engineering Manager, Research Productivity

The role

You will support a team of machine learning and distributed systems experts to build systems that support large-scale, distributed finetuning runs and improve researcher productivity. You will work with research, product, and infrastructure teams to incorporate innovations into the production finetuning pipeline and ensure efficient training runs.

What you will do

• Prioritize the team's work in collaboration with the technical lead, research teams, and product teams.
• Design processes such as postmortem review, incident response, and on-call rotations.
• Coach and support reports to understand and pursue professional growth.
• Run the team's recruiting efforts efficiently.

Required qualifications

• At least 2 years of experience as a manager.
• Bachelor's degree or an equivalent combination of education, training, and/or experience.
• A field relevant to the role as demonstrated through coursework, training, or professional experience.

Nice to have

• Experience working with research teams, especially as part of a “research to production” pipeline
• Strong people management experience: Coaching, performance evaluation, mentorship, career development
• Strong project management skills: Prioritization, communicating across team/org boundaries
• Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas, though we are not able to successfully sponsor visas for every role and every candidate.
• Applications will be reviewed on a rolling basis.

About the company

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. It is a public benefit corporation headquartered in San Francisco.